Product details
Seeed Studio XIAO ESP32S3 Plus WiFi and Bluetooth Development Board
The Seeed Studio XIAO ESP32S3 Plus is a compact and powerful wireless development board designed for IoT, embedded systems, AI edge computing, robotics, and smart automation applications. Powered by the ESP32-S3 dual-core processor, the board combines high-performance processing, integrated wireless communication, and low-power operation within the ultra-small XIAO form factor. Its compact size makes it ideal for portable electronics, wearable devices, compact embedded systems, and space-constrained development projects.
Designed for makers, students, embedded developers, IoT engineers, robotics enthusiasts, and AI developers, the XIAO ESP32S3 Plus supports 2.4GHz Wi-Fi and Bluetooth connectivity for seamless wireless communication and smart device integration. The board is compatible with popular development environments including Arduino, ESP-IDF, MicroPython, and TinyML workflows, enabling rapid prototyping and flexible application development. Its versatile GPIO support allows easy integration with sensors, displays, actuators, cameras, and communication modules for advanced embedded and automation projects.
The low-power architecture and efficient processing capabilities make the board suitable for battery-powered IoT systems, wireless sensor networks, smart home devices, AI voice systems, and edge intelligence applications. With its combination of compact design, wireless functionality, and development flexibility, the Seeed Studio XIAO ESP32S3 Plus is an ideal platform for modern connected electronics and embedded innovation.
Hardware Overview
Pinout
Features
• ESP32-S3 dual-core wireless development board
• Supports 2.4GHz Wi-Fi connectivity
• Bluetooth wireless communication support
• Ultra-compact XIAO form factor design
• Suitable for low-power embedded applications
• Compatible with Arduino and MicroPython
• Supports ESP-IDF and TinyML development
• Versatile GPIO expansion support
• Designed for AIoT and edge computing projects
• Easy integration with sensors and peripherals
• Ideal for wearable and compact electronics systems
The Seeed Studio XIAO ESP32S3 Plus is a compact and powerful wireless development board designed for IoT, embedded systems, AI edge computing, robotics, and smart automation applications. Powered by the ESP32-S3 dual-core processor, the board combines high-performance processing, integrated wireless communication, and low-power operation within the ultra-small XIAO form factor. Its compact size makes it ideal for portable electronics, wearable devices, compact embedded systems, and space-constrained development projects.
Designed for makers, students, embedded developers, IoT engineers, robotics enthusiasts, and AI developers, the XIAO ESP32S3 Plus supports 2.4GHz Wi-Fi and Bluetooth connectivity for seamless wireless communication and smart device integration. The board is compatible with popular development environments including Arduino, ESP-IDF, MicroPython, and TinyML workflows, enabling rapid prototyping and flexible application development. Its versatile GPIO support allows easy integration with sensors, displays, actuators, cameras, and communication modules for advanced embedded and automation projects.
The low-power architecture and efficient processing capabilities make the board suitable for battery-powered IoT systems, wireless sensor networks, smart home devices, AI voice systems, and edge intelligence applications. With its combination of compact design, wireless functionality, and development flexibility, the Seeed Studio XIAO ESP32S3 Plus is an ideal platform for modern connected electronics and embedded innovation.
Hardware Overview
Pinout
Features
• ESP32-S3 dual-core wireless development board
• Supports 2.4GHz Wi-Fi connectivity
• Bluetooth wireless communication support
• Ultra-compact XIAO form factor design
• Suitable for low-power embedded applications
• Compatible with Arduino and MicroPython
• Supports ESP-IDF and TinyML development
• Versatile GPIO expansion support
• Designed for AIoT and edge computing projects
• Easy integration with sensors and peripherals
• Ideal for wearable and compact electronics systems
